Instructions to use pogtador/codebert-pretrained-stackoverflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pogtador/codebert-pretrained-stackoverflow with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pogtador/codebert-pretrained-stackoverflow")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pogtador/codebert-pretrained-stackoverflow") model = AutoModelForMaskedLM.from_pretrained("pogtador/codebert-pretrained-stackoverflow", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pogtador/codebert-pretrained-stackoverflow: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/pogtador/codebert-pretrained-stackoverflow/resolve/main/training_args.bin
- Command line
-
hf download hf://pogtador/codebert-pretrained-stackoverflow/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pogtador/codebert-pretrained-stackoverflow/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 5c1c694464e4a9304baceed0d7494c80fdcf01687d84ed0e2fdc46344f9e8761
- Size of remote file:
- 5.3 kB
- SHA256:
- 70bc9c614f2f24b223eb7bfb148f869685f88daf3691206157589aba11816571
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